Mendelian Randomization: Using Genetic Data to Strengthen Causal Inference
Yinxiang Wu, Hyunseung Kang, Ting Ye (2024+). A More Credible Approach to Multivariable Mendelian Randomization.
Sai Li, Ting Ye (2024). A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data. Journal of the Royal Statistical Society: Series B.
Ting Ye, Zhonghua Liu, Baoluo Sun, Eric J. Tchetgen Tchetgen (2024). GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments. Journal of the Royal Statistical Society: Series B. [Slides, R package]Â
Yilin Song, Ting Ye, Lewis R. Roberts, Nicholas B. Larson, Stacey J. Winham (2023). Mendelian Randomization in Hepatology: A Review of Principles, Opportunities, and Challenges. Hepatology.
Ting Ye, Jun Shao, Hyunseung Kang (2021). Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization. Annals of Statistics. [Slides, R package]
Zhonghua Liu, Ting Ye, Baoluo Sun, Mary Schooling, and Eric J. Tchetgen Tchetgen (2023+). On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference. Biometrics.
